Optimal configuration of a tidal current turbine farm in a shallow channel. (15th January 2021)
- Record Type:
- Journal Article
- Title:
- Optimal configuration of a tidal current turbine farm in a shallow channel. (15th January 2021)
- Main Title:
- Optimal configuration of a tidal current turbine farm in a shallow channel
- Authors:
- Han, Jisu
Jung, Jaeyoung
Hwang, Jin Hwan - Abstract:
- Abstract: This study investigates the macroscopic features of tidal farm layouts optimized to maximize power production in an idealized shallow channel with steady unidirectional flow. By varying the number of turbines and optimization constraints, numerical experiments were conducted using OpenTidalFarm, an open-source solver for tidal farm optimization using PDE-constraint gradient-based optimization. To alleviate the computational complexity for identifying a global optimum, a concept of quasi-global optimum was introduced, a local optimum that serves as a global optimum in a crude sense. From extensive numerical results, notable patterns in the shape of the quasi-global optimal layout were observed and explained by a nondimensional parameter, E, the ratio of the shortest hypothetical linear fence to the length of the lateral farm site constraint. The quasi-global optimal layout had a linear fence shape when E ≤ 1. The layout evolved into a downstream-concave parabola and subsequently into a V-shape as E increased beyond 1. Moreover, as more turbines were added to an array, the quasi-global optimal layout was no longer a single fence, and some turbines were separated from the main body. From the quantitative perspective, it is shown that the power production could be increased by up to 50% by tuning the optimization constraints. Highlights: Numerical experiments are undertaken to identify features of the optimal tidal farm layout. A gradient-based optimization solver isAbstract: This study investigates the macroscopic features of tidal farm layouts optimized to maximize power production in an idealized shallow channel with steady unidirectional flow. By varying the number of turbines and optimization constraints, numerical experiments were conducted using OpenTidalFarm, an open-source solver for tidal farm optimization using PDE-constraint gradient-based optimization. To alleviate the computational complexity for identifying a global optimum, a concept of quasi-global optimum was introduced, a local optimum that serves as a global optimum in a crude sense. From extensive numerical results, notable patterns in the shape of the quasi-global optimal layout were observed and explained by a nondimensional parameter, E, the ratio of the shortest hypothetical linear fence to the length of the lateral farm site constraint. The quasi-global optimal layout had a linear fence shape when E ≤ 1. The layout evolved into a downstream-concave parabola and subsequently into a V-shape as E increased beyond 1. Moreover, as more turbines were added to an array, the quasi-global optimal layout was no longer a single fence, and some turbines were separated from the main body. From the quantitative perspective, it is shown that the power production could be increased by up to 50% by tuning the optimization constraints. Highlights: Numerical experiments are undertaken to identify features of the optimal tidal farm layout. A gradient-based optimization solver is used to maximize power production. The shape of the optimal layout is dependent on a nondimensional parameter. The optimal layout forms a downstream-wise concave barrage. Adjusting the optimization constraints can improve power production by up to 50%. … (more)
- Is Part Of:
- Ocean engineering. Volume 220(2021)
- Journal:
- Ocean engineering
- Issue:
- Volume 220(2021)
- Issue Display:
- Volume 220, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 220
- Issue:
- 2021
- Issue Sort Value:
- 2021-0220-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-01-15
- Subjects:
- Tidal current turbine (TCT) -- Tidal farm -- Gradient-based optimization -- Initial layout -- Shape -- Optimization constraint
Ocean engineering -- Periodicals
Ocean engineering
Periodicals
620.4162 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00298018 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.oceaneng.2020.108395 ↗
- Languages:
- English
- ISSNs:
- 0029-8018
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6231.280000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22873.xml